People Data Labs
People Data Labs (PDL) is a B2B data enrichment and web intelligence provider offering a REST API over a dataset of nearly three billion person profiles and tens of millions of company records. The api.peopledatalabs.com/v5 API lets developers enrich, identify, and search person and company data, resolve contacts and firmographics, look up companies from a domain or LinkedIn URL, and clean and standardize job titles, skills, schools, companies, and locations. Authentication is a single X-Api-Key header, all endpoints are HTTPS REST, and PDL publishes an official OpenAPI specification.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles People Data Labs the way a machine reads it — 39 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — People Data Labs scores 66.0/100 (strong), with a separate agent-readiness read of 37/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile People Data Labs
Each block below is one kind of artifact we hold for People Data Labs. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 14
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
People Data Labs Autocomplete API
The Autocomplete API from People Data Labs — 1 operation(s) for autocomplete.
People Data Labs Cleaner Endpoints API
The Cleaner Endpoints API from People Data Labs — 3 operation(s) for cleaner endpoints.
People Data Labs Company Endpoints API
The Company Endpoints API from People Data Labs — 2 operation(s) for company endpoints.
People Data Labs IP Enrichment API
The IP Enrichment API from People Data Labs — 1 operation(s) for ip enrichment.
People Data Labs Job Title Enrichment API
The Job Title Enrichment API from People Data Labs — 1 operation(s) for job title enrichment.
People Data Labs Person Endpoints API
The Person Endpoints API from People Data Labs — 5 operation(s) for person endpoints.
People Data Labs Skill Enrichment API
The Skill Enrichment API from People Data Labs — 1 operation(s) for skill enrichment.
People Data Labs Subscription API
The Subscription API from People Data Labs — 5 operations for managing webhook subscriptions: create, list, retrieve, update and delete the HTTPS target URL that People Data Lab...
People Data Labs Preview Enrichment API
The Preview Enrichment API from People Data Labs — 1 operation returning a preview of a person match: a small set of identity fields plus booleans indicating which further field...
People Data Labs Subject Request API
The Subject Request API from People Data Labs — 1 operation returning a CSV of PDL Person IDs belonging to data subjects who have opted out of People Data Labs data, so downstre...
People Data Labs Company API
Company enrichment and search operations.
People Data Labs IP API
IP-based enrichment operations.
People Data Labs Jobs API
Job posting search operations.
People Data Labs Person API
Person enrichment, search, and identification operations.
Scroll within the panel for all 14 ·
Open Collections 16
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONPeople Data Labs API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete Cleaner Endpoints API
OPEN COLLECTIONPeople Data Labs Autocomplete Company API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete Company Endpoints API
OPEN COLLECTIONPeople Data Labs Autocomplete IP API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete IP Enrichment API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete Job Title Enrichment API
OPEN COLLECTIONPeople Data Labs Autocomplete Jobs API
OPEN COLLECTIONPeople Data Labs Autocomplete Person API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete Person Endpoints API
OPEN COLLECTIONapi.peopledatalabs.com Autocomplete Skill Enrichment API
OPEN COLLECTIONapi.peopledatalabs.com Subject Request API
OPEN COLLECTIONapi.peopledatalabs.com Subscription API
OPEN COLLECTIONPeople Data Labs API
OPEN COLLECTIONScroll within the panel for all 16 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
People Data Labs Documentation
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Peopledatalabs Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Peopledatalabs Finops
FINOPSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Peopledatalabs Webhooks
ASYNCAPISecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for People Data Labs — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 6
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 6
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/peopledatalabs · machine-readable index on apis.io
This is an independent, third-party profile of People Data Labs, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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